Extracting Visual Content and Descriptors for an Optimal Access Policy Generator

Abstract

The prevalence of social networking sites continues to surge in today's world, with content sharing being a ubiquitous practice among users. The uploading of multimedia content, such as images and videos, has become exceedingly popular on these platforms. Privacy, a paramount concern in the current landscape, plays a pivotal role in safeguarding multimedia content on social networking sites. While the existing system employs the Adaptive Privacy Policy Prediction (A3P) framework to assist users in establishing security measures for their images, its efficacy falls short of expectations. This paper introduces an improved approach named Advanced Privacy Policy Prediction, aiming to enhance privacy policies. The ensuing results demonstrate the effectiveness of the proposed method.